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      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableD5_Pa
> nelA.log
  log type:  text
 opened on:  19 Feb 2024, 03:19:35

. 
. clustse regress detection_survey treatment final_stratum_id1-final_stratum_id13 b
> _detection_survey, cluster(uid_cluster) method(pairs) reps(5000) seed(13915183)  
>  
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
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              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.10284467    0.514   -.41996705    .21427771
final_str~d1   -.38789737    0.734   -6.5600978    5.7843031
final_str~d2      .567504    0.668   -5.7948029    6.9298109
final_str~d3    .50993047    0.684   -4.5637415    5.5836025
final_str~d4    2.4146585    0.437   -7.6986329     12.52795
final_stra~5   -.77889305    0.606   -6.9106775    5.3528914
final_stra~6   -1.0534764    0.523   -8.4168556    6.3099028
final_stra~7   -.19179739    0.715    -6.503699    6.1201042
final_stra~8   -.93112742    0.577   -6.5332211    4.6709662
final_stra~9   -1.0293171    0.564   -12.886906    10.828272
final_str~10   -.92850264    0.575   -7.1397921    5.2827868
final_str~11   -.88196301    0.582   -10.928735    9.1648092
final_str~12   -.36582413    0.684   -89.281385    88.549737
final_str~13   -1.0642456    0.542   -11.811117    9.6826254
b_detectio~y    .31742537    0.010    .10407815    .53077259
_cons           1.7518738    0.520   -3.7287679    7.2325154
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.

. clustse regress detection_survey treatment final_stratum_id1-final_stratum_id13 b
> _detection_survey $hw_controls_b, cluster(uid_cluster) method(pairs) reps(5000) s
> eed(13915183)   
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
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              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.15914533    0.551   -.71217499    .39388432
final_str~d1   -.41846988    0.782    -5.804847    4.9679073
final_str~d2    .56855479    0.702    -4.737837    5.8749466
final_str~d3    .43825971    0.749   -5.6736063    6.5501257
final_str~d4    2.5291411    0.315   -2.6336628    7.6919451
final_stra~5   -.76371895    0.624    -5.714983    4.1875451
final_stra~6   -1.0767006    0.516   -5.7096363     3.556235
final_stra~7   -.18332273    0.747   -4.5201019    4.1534564
final_stra~8    -.8738961    0.595   -5.2095302     3.461738
final_stra~9   -1.1067992    0.540   -6.5552948    4.3416963
final_str~10   -.92837558    0.585   -6.4662953    4.6095441
final_str~11   -.81727536    0.599   -5.7290949    4.0945442
final_str~12   -.21848074    0.746   -5.1901444     4.753183
final_str~13   -1.1216779    0.507   -6.8281941    4.5848384
b_detectio~y    .30561922    0.007    .09799572    .51324272
b_age_          .01736102    0.204   -.01071708    .04543911
b_jobs_be~a_   -.10089659    0.684    -.6113729    .40957971
male_           .10673111    0.711   -.53035917    .74382139
gen_caste_      .09658168    0.667    -.3900734    .58323677
hindu_         -.03550545    0.914   -.71939692    .64838602
twelveand~w_    .15962419    0.849   -2.5433729    2.8626213
tertiary_       .34839627    0.683   -2.5133584    3.2101509
hhd_size_       .05637978    0.255   -.04489488    .15765445
ownhouse_       .01273099    0.943   -.36576789    .39122988
b_age_dum_              0    0.000            .            .
b_jobs_be~m_            0    0.000            .            .
male_dum_               0    0.000            .            .
gen_caste_~_            0    0.000            .            .
hindu_dum_              0    0.000            .            .
twelveand~m_     .1962758    0.774   -2.7445066    3.1370582
tertiary_d~_            0    0.000            .            .
hhd_size_d~_    .35567256    0.479   -.92278869    1.6341338
ownhouse_d~_            0    0.000            .            .
_cons           .68872902    0.683   -3.2766402    4.6540982
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.

. 
. clustse regress detection_oa treatment final_stratum_id1-final_stratum_id13 b_det
> ection_oa, cluster(uid_cluster) method(pairs) reps(5000) seed(13915183)   
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
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              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.76560247    0.010   -1.3450105   -.18619441
final_str~d1   -.87021935    0.741   -15.169717    13.429279
final_str~d2   -1.2871592    0.682   -12.528369    9.9540511
final_str~d3    1.9994384    0.611   -9.5389773    13.537854
final_str~d4    3.8036558    0.376   -7.0901272    14.697439
final_stra~5   -1.0093334    0.711   -23.304556     21.28589
final_stra~6   -2.1216544    0.578   -29.454287    25.210978
final_stra~7   -.91022049    0.667   -21.373701     19.55326
final_stra~8   -1.4213115    0.649    -18.94217    16.099547
final_stra~9   -1.4195369    0.658   -19.401867    16.562793
final_str~10   -1.8311174    0.621   -17.363308    13.701073
final_str~11      -1.7295    0.607   -28.647159    25.188159
final_str~12   -1.0254775    0.577   -35.360934    33.309979
final_str~13   -1.3509078    0.617   -35.681122    32.979306
b_detec~n_oa    .67001702    0.000    .43024125     .9097928
_cons           2.4406732    0.592   -10.579769    15.461115
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.

. clustse regress detection_oa treatment final_stratum_id1-final_stratum_id13 b_det
> ection_oa $hw_controls_b, cluster(uid_cluster) method(pairs) reps(5000) seed(1391
> 5183)   
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
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              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.86316364    0.036   -1.6635746   -.06275263
final_str~d1   -.72111316    0.802   -13.670649    12.228422
final_str~d2    -1.467387    0.667   -12.890606     9.955832
final_str~d3    2.1929429    0.620   -12.048105    16.433991
final_str~d4    3.7469403    0.391   -7.5616635    15.055544
final_stra~5    -.4379316    0.861    -12.35976    11.483897
final_stra~6   -2.1632317    0.590   -16.487853     12.16139
final_stra~7   -1.2466327    0.637   -13.211882    10.718617
final_stra~8    -1.163745    0.712   -11.602777    9.2752869
final_stra~9   -1.1159769    0.713   -13.029465    10.797511
final_str~10   -1.6010801    0.657    -13.63467    10.432509
final_str~11   -1.6521589    0.643   -13.974479    10.670162
final_str~12   -1.3375594    0.578   -13.046956    10.371837
final_str~13   -1.6146826    0.606   -14.883933    11.654568
b_detec~n_oa    .66131195    0.000    .44566185    .87696206
b_age_         -.00081486    0.972   -.05609754    .05446781
b_jobs_be~a_    .19490542    0.684   -.72536125    1.1151721
male_          -.29506143    0.528   -1.4309176    .84079478
gen_caste_     -.02684125    0.943    -.8156848    .76200229
hindu_          .12234551    0.808   -.91370484    1.1583959
twelveand~w_   -.31065335    0.653   -1.9997756    1.3784689
tertiary_      -.24688061    0.738   -2.1739822    1.6802209
hhd_size_       .02133277    0.783   -.16709608    .20976162
ownhouse_       .76784271    0.092   -.19200937    1.7276948
b_age_dum_              0    0.000            .            .
b_jobs_be~m_            0    0.000            .            .
male_dum_               0    0.000            .            .
gen_caste_~_            0    0.000            .            .
hindu_dum_              0    0.000            .            .
twelveand~m_   -.70900711    0.437   -3.1161586    1.6981444
tertiary_d~_            0    0.000            .            .
hhd_size_d~_   -1.2639331    0.309   -4.3480936    1.8202274
ownhouse_d~_            0    0.000            .            .
_cons           2.1198065    0.555   -5.9031983    10.142811
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.

. 
. clustse regress detection_diff_oa treatment final_stratum_id1-final_stratum_id13 
> b_detection_diff_oa, cluster(uid_cluster) method(pairs) reps(5000) seed(13915183)
>    
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
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              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.83687045    0.007   -1.3448721   -.32886879
final_str~d1   -.46571119    0.781   -5.6150779    4.6836555
final_str~d2   -.83157653    0.651   -7.2675028    5.6043497
final_str~d3    1.4969994    0.512   -3.3404554    6.3344541
final_str~d4    2.3442814    0.223   -2.1528104    6.8413732
final_stra~5   -.59852113    0.702   -8.8400381    7.6429958
final_stra~6    -.7702527    0.627   -12.410947    10.870441
final_stra~7   -.13384687    0.815   -473.95146    473.68377
final_stra~8   -1.0669211    0.614   -7.9859649    5.8521226
final_stra~9   -.80357816    0.647     -9.53386    7.9267036
final_str~10   -1.1884228    0.605    -7.467486    5.0906404
final_str~11   -1.0820822    0.600   -8.2473306    6.0831662
final_str~12   -.93497362    0.518   -30.666196    28.796249
final_str~13   -.95947137    0.588   -18.228937    16.309995
b_detec~f_oa    .42060271    0.003    .19209728    .64910815
_cons           1.7215448    0.578   -5.0097797    8.4528694
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.

. clustse regress detection_diff_oa treatment final_stratum_id1-final_stratum_id13 
> b_detection_diff_oa $hw_controls_b, cluster(uid_cluster) method(pairs) reps(5000)
>  seed(13915183)   
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.88871551    0.012    -1.524373   -.25305799
final_str~d1   -.45626782    0.798   -5.3225893    4.4100537
final_str~d2   -1.0709109    0.607   -7.1208845    4.9790626
final_str~d3    1.6793057    0.515   -3.9658165    7.3244278
final_str~d4    2.2852385    0.299   -2.7927964    7.3632733
final_stra~5   -.15747638    0.915   -5.1426096    4.8276569
final_stra~6   -1.0157742    0.602   -6.7950434     4.763495
final_stra~7   -.66636334    0.688   -8.3094164    6.9766898
final_stra~8   -1.1330095    0.592   -5.8329314    3.5669125
final_stra~9   -.55043195    0.736   -5.4864072    4.3855433
final_str~10   -1.1370076    0.608    -6.453391    4.1793757
final_str~11   -1.2216642    0.572    -6.325468    3.8821396
final_str~12   -1.7275716    0.397   -6.7130518    3.2579085
final_str~13   -1.3385541    0.537   -7.1304214    4.4533133
b_detec~f_oa    .37170753    0.001    .18303937     .5603757
b_age_         -.01150616    0.642   -.06370801    .04069569
b_jobs_be~a_    .39745785    0.256   -.30181662    1.0967323
male_           -.3979614    0.395   -1.5383203     .7423975
gen_caste_      .02102336    0.955   -.66681225    .70885897
hindu_          .31316818    0.416   -.47475596    1.1010923
twelveand~w_   -.35215259    0.374   -1.2197929    .51548769
tertiary_      -.59936861    0.262   -1.7746163    .57587904
hhd_size_      -.03371541    0.576     -.179438    .11200718
ownhouse_         .739313    0.089   -.20998972    1.6886157
b_age_dum_              0    0.000            .            .
b_jobs_be~m_            0    0.000            .            .
male_dum_               0    0.000            .            .
gen_caste_~_            0    0.000            .            .
hindu_dum_              0    0.000            .            .
twelveand~m_   -.82218836    0.047    -1.662832    .01845525
tertiary_d~_            0    0.000            .            .
hhd_size_d~_   -1.3028576    0.338   -4.7661254    2.1604101
ownhouse_d~_            0    0.000            .            .
_cons           2.1368475    0.278   -1.9063531    6.1800482
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.

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